Optimized routing on agricultural fields by minimizing maneuvering and servicing time

Optimized routing on agricultural fields by minimizing maneuvering and servicing time Agricultural machines spend a significant part of their time on non-productive operations such as maneuvering near the boundaries of the field and loading or offloading of inputs or outputs (here referred to as servicing). This paper integrates existing methods for route optimization so as to minimize the time spent on turns and machine servicing on fields cultivated in straight rows. The following variables are optimized: (1) the orientation (angle) of the tracks, (2) the order of tracks, and (3) the types of turns between tracks. The angle of the tracks relative to field boundaries influences the number and lengths of the machine tracks, the number of turns and the positions where the machine can be serviced. Track order and the type of turns are selected to achieve overall efficiency. The algorithm was tested by computing routes for a set of fields of different sizes and assuming different operations. On small fields that do not require servicing, optimizing the turns between tracks resulted in a reduction of up to 50 % in turning time compared to the prevailing practice of navigation between adjacent tracks. A comparison of two sprayers in terms of servicing efficiency suggested that the algorithm can help selecting machinery for given field geometries. In some cases requiring machine servicing, the track orientation giving the shortest turning time did not produce the least servicing time. This illustrates that machine servicing should be taken into consideration for global optimization of machine traffic. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Precision Agriculture Springer Journals

Optimized routing on agricultural fields by minimizing maneuvering and servicing time

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Publisher
Springer US
Copyright
Copyright © 2012 by Springer Science+Business Media New York
Subject
Life Sciences; Agriculture; Soil Science & Conservation; Remote Sensing/Photogrammetry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Meteorology/Climatology
ISSN
1385-2256
eISSN
1573-1618
D.O.I.
10.1007/s11119-012-9290-5
Publisher site
See Article on Publisher Site

Abstract

Agricultural machines spend a significant part of their time on non-productive operations such as maneuvering near the boundaries of the field and loading or offloading of inputs or outputs (here referred to as servicing). This paper integrates existing methods for route optimization so as to minimize the time spent on turns and machine servicing on fields cultivated in straight rows. The following variables are optimized: (1) the orientation (angle) of the tracks, (2) the order of tracks, and (3) the types of turns between tracks. The angle of the tracks relative to field boundaries influences the number and lengths of the machine tracks, the number of turns and the positions where the machine can be serviced. Track order and the type of turns are selected to achieve overall efficiency. The algorithm was tested by computing routes for a set of fields of different sizes and assuming different operations. On small fields that do not require servicing, optimizing the turns between tracks resulted in a reduction of up to 50 % in turning time compared to the prevailing practice of navigation between adjacent tracks. A comparison of two sprayers in terms of servicing efficiency suggested that the algorithm can help selecting machinery for given field geometries. In some cases requiring machine servicing, the track orientation giving the shortest turning time did not produce the least servicing time. This illustrates that machine servicing should be taken into consideration for global optimization of machine traffic.

Journal

Precision AgricultureSpringer Journals

Published: Oct 21, 2012

References

  • Path planning for in-field navigation-aiding of service units
    Bochtis, D; Sorensen, CG; Vougioukas, SG
  • Spatial optimisation of cropped swaths and field margins using GIS
    Bruin, S; Lerink, P; Klompe, A; Wal, T; Heijting, S

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